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Showing result 1 - 5 of 25 essays matching the above criteria.

  1. 1. Image Colorization Based on Deep Learning

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Tao Deng; [2023]
    Keywords : Image colorization; Deep Learning; Convolutional Neural Network; Generative Adversarial Network; Färgläggning av bilder; djupinlärning; Konvolutionella Neurala Nätverk; Generativa Adversariella Nätverk;

    Abstract : With the development of artificial intelligence, there is a clear trend to combine computer technology with traditional industries. In recent years, with the development of digital media technology, many methods for coloring gray-scale images have been proposed. READ MORE

  3. 2. Trainable Region of Interest Prediction: Hard Attention Framework for Hardware-Efficient Event-Based Computer Vision Neural Networks on Neuromorphic Processors

    University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

    Author : Cina Arjmand; [2023]
    Keywords : Artifical Intelligence; Machine Learning; Neuromorphic Engineering; Computer Vision; Technology and Engineering;

    Abstract : Neuromorphic processors are a promising new type of hardware for optimizing neural network computation using biologically-inspired principles. They can effectively leverage information sparsity such as in images from event-based cameras, and are well-adapted to processing event-based data in an energy-efficient fashion. READ MORE

  4. 3. Low-power Acceleration of Convolutional Neural Networks using Near Memory Computing on a RISC-V SoC

    University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

    Author : Kristoffer Westring; Linus Svensson; [2023]
    Keywords : FPGA; ASIC; Near Memory Computing; RISC-V; Convolutional Neural Network; Technology and Engineering;

    Abstract : The recent peak in interest for artificial intelligence, partly fueled by language models such as ChatGPT, is pushing the demand for machine learning and data processing in everyday applications, such as self-driving cars, where low latency is crucial and typically achieved through edge computing. The vast amount of data processing required intensifies the existing performance bottleneck of the data movement. READ MORE

  5. 4. Fog detection using an artificial neural network

    University essay from Lunds universitet/Matematisk statistik

    Author : Quanwei Li; Tiancheng Ma; [2023]
    Keywords : Machine Learning; Deep Learning; Image Analysis; Computer Vision; Mathematics and Statistics;

    Abstract : This project studies a method of image-based fog detection directly from a camera without using the transmissometer. Fog can be detected using transmissometers which could be a very costly approach. This thesis presents an image-based approach for fog detection using Artificial Neural networks. READ MORE

  6. 5. Anchor-free object detection in surveillance applications

    University essay from Malmö universitet/Institutionen för datavetenskap och medieteknik (DVMT)

    Author : Peter Magnusson; [2023]
    Keywords : computer vision; object detection; detector models; artificial neural networks; deep learning; detection precision; inference efficiency; surveillance applications; anchor-free detection; convolutional neural network; machine learning;

    Abstract : Computer vision object detection is the task of detecting and identifying objects present in an image or a video sequence. Models based on artificial convolutional neural networks are commonly used as detector models. Object detection precision and inference efficiency are crucial for surveillance-based applications. READ MORE